Supports for minimal hermitian matrices
Functional Analysis
2019-06-18 v1 Operator Algebras
Abstract
We study certain pairs of subspaces and of we call supports that consist of eigenspaces of the eigenvalues of a minimal hermitian matrix ( for all real diagonals ). For any pair of orthogonal subspaces we define a non negative invariant called the adequacy to measure how close they are to form a support and to detect one. This function is the minimum of another map defined in a product of spheres of hermitian matrices. We study the gradient, Hessian and critical points of in order to approximate . These results allow us to prove that the set of supports has interior points in the space of flag manifolds.
Keywords
Cite
@article{arxiv.1906.06417,
title = {Supports for minimal hermitian matrices},
author = {Alberto Mendoza and Lázaro Recht and Alejandro Varela},
journal= {arXiv preprint arXiv:1906.06417},
year = {2019}
}